| OpenFold: Retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization G Ahdritz, N Bouatta, C Floristean, S Kadyan, Q Xia, W Gerecke, ... Nature Methods 21 (8), 1514-1524, 2024 | 243 | 2024 |
| Rita: a study on scaling up generative protein sequence models D Hesslow, N Zanichelli, P Notin, I Poli, D Marks arXiv preprint arXiv:2205.05789, 2022 | 91 | 2022 |
| Masked inverse folding with sequence transfer for protein representation learning KK Yang, N Zanichelli, H Yeh Protein Engineering, Design and Selection 36, gzad015, 2023 | 79 | 2023 |
| Stable lm 2 1.6 b technical report M Bellagente, J Tow, D Mahan, D Phung, M Zhuravinskyi, R Adithyan, ... arXiv preprint arXiv:2402.17834, 2024 | 54 | 2024 |
| Openfold: Retraining alphafold2 yields new insights into its learning mechanisms and capacity for generalization. bioRxiv G Ahdritz, N Bouatta, S Kadyan, Q Xia, W Gerecke, TJ O’Donnell, ... Preprint, 2022 | 21 | 2022 |
| OpenFold: Retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization. bioRxiv [Preprint](2022) G Ahdritz, N Bouatta, S Kadyan, Q Xia, W Gerecke, TJ O’Donnell, ... Academic Search, 0 | 10 | |
| RITA: a study on scaling up generative protein sequence models. arXiv, 2022. doi: 10.48550 D Hesslow, N Zanichelli, P Notin, I Poli, D Marks arXiv preprint arXiv.2205.05789, 0 | 7 | |
| Rita: a study on scaling up generative protein sequence models (2022) D Hesslow, N Zanichelli, P Notin, I Poli, D Marks arXiv preprint arXiv:2205.05789, 0 | 6 | |
| NeuroAI for AI Safety P Mineault, N Zanichelli, JZ Peng, A Arkhipov, E Bingham, J Jara-Ettinger, ... arXiv preprint arXiv:2411.18526, 2024 | 1 | 2024 |
| Q&A generation for flashcards within a transformer-based framework B Thabet, N Zanichelli, F Zanichelli International Workshop on Higher Education Learning Methodologies and …, 2022 | 1 | 2022 |
